Dataset statistics
| Number of variables | 11 |
|---|---|
| Number of observations | 462 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 39.8 KiB |
| Average record size in memory | 88.3 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 2 |
adiposity is highly correlated with obesity and 1 other fields | High correlation |
obesity is highly correlated with adiposity | High correlation |
age is highly correlated with adiposity | High correlation |
names is uniformly distributed | Uniform |
names has unique values | Unique |
tobacco has 107 (23.2%) zeros | Zeros |
alcohol has 110 (23.8%) zeros | Zeros |
Reproduction
| Analysis started | 2022-11-01 20:23:38.782649 |
|---|---|
| Analysis finished | 2022-11-01 20:23:59.641655 |
| Duration | 20.86 seconds |
| Software version | pandas-profiling v3.4.0 |
| Download configuration | config.json |
| Distinct | 462 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 231.9350649 |
| Minimum | 1 |
|---|---|
| Maximum | 463 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 24.05 |
| Q1 | 116.25 |
| median | 231.5 |
| Q3 | 347.75 |
| 95-th percentile | 439.95 |
| Maximum | 463 |
| Range | 462 |
| Interquartile range (IQR) | 231.5 |
Descriptive statistics
| Standard deviation | 133.9385851 |
|---|---|
| Coefficient of variation (CV) | 0.5774831207 |
| Kurtosis | -1.203538107 |
| Mean | 231.9350649 |
| Median Absolute Deviation (MAD) | 116 |
| Skewness | 0.001436279421 |
| Sum | 107154 |
| Variance | 17939.54458 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.2% |
| 319 | 1 | 0.2% |
| 317 | 1 | 0.2% |
| 316 | 1 | 0.2% |
| 315 | 1 | 0.2% |
| 314 | 1 | 0.2% |
| 313 | 1 | 0.2% |
| 312 | 1 | 0.2% |
| 311 | 1 | 0.2% |
| 310 | 1 | 0.2% |
| Other values (452) | 452 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 463 | 1 | |
| 462 | 1 | |
| 461 | 1 | |
| 460 | 1 | |
| 459 | 1 | |
| 458 | 1 | |
| 457 | 1 | |
| 456 | 1 | |
| 455 | 1 | |
| 454 | 1 |
sbp
Real number (ℝ≥0)
| Distinct | 62 |
|---|---|
| Distinct (%) | 13.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 138.3268398 |
| Minimum | 101 |
|---|---|
| Maximum | 218 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 101 |
|---|---|
| 5-th percentile | 112 |
| Q1 | 124 |
| median | 134 |
| Q3 | 148 |
| 95-th percentile | 176 |
| Maximum | 218 |
| Range | 117 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 20.49631718 |
|---|---|
| Coefficient of variation (CV) | 0.1481731037 |
| Kurtosis | 1.781646545 |
| Mean | 138.3268398 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 1.180590625 |
| Sum | 63907 |
| Variance | 420.0990178 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 136 | 29 | 6.3% |
| 134 | 29 | 6.3% |
| 128 | 25 | 5.4% |
| 132 | 24 | 5.2% |
| 118 | 21 | 4.5% |
| 124 | 21 | 4.5% |
| 130 | 20 | 4.3% |
| 126 | 20 | 4.3% |
| 138 | 18 | 3.9% |
| 122 | 17 | 3.7% |
| Other values (52) | 238 |
| Value | Count | Frequency (%) |
| 101 | 1 | 0.2% |
| 102 | 1 | 0.2% |
| 103 | 1 | 0.2% |
| 106 | 3 | 0.6% |
| 108 | 7 | |
| 109 | 1 | 0.2% |
| 110 | 4 | 0.9% |
| 112 | 7 | |
| 114 | 12 | |
| 116 | 8 |
| Value | Count | Frequency (%) |
| 218 | 1 | 0.2% |
| 216 | 1 | 0.2% |
| 214 | 1 | 0.2% |
| 208 | 3 | |
| 206 | 2 | |
| 200 | 1 | 0.2% |
| 198 | 1 | 0.2% |
| 194 | 2 | |
| 190 | 2 | |
| 188 | 1 | 0.2% |
| Distinct | 214 |
|---|---|
| Distinct (%) | 46.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.635649351 |
| Minimum | 0 |
|---|---|
| Maximum | 31.2 |
| Zeros | 107 |
| Zeros (%) | 23.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.0525 |
| median | 2 |
| Q3 | 5.5 |
| 95-th percentile | 12.49 |
| Maximum | 31.2 |
| Range | 31.2 |
| Interquartile range (IQR) | 5.4475 |
Descriptive statistics
| Standard deviation | 4.593024078 |
|---|---|
| Coefficient of variation (CV) | 1.263329776 |
| Kurtosis | 5.968107866 |
| Mean | 3.635649351 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.079209667 |
| Sum | 1679.67 |
| Variance | 21.09587018 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 107 | 23.2% |
| 6 | 11 | 2.4% |
| 3 | 10 | 2.2% |
| 0.4 | 8 | 1.7% |
| 4 | 8 | 1.7% |
| 4.5 | 7 | 1.5% |
| 4.2 | 7 | 1.5% |
| 12 | 5 | 1.1% |
| 0.6 | 5 | 1.1% |
| 2 | 5 | 1.1% |
| Other values (204) | 289 |
| Value | Count | Frequency (%) |
| 0 | 107 | |
| 0.01 | 1 | 0.2% |
| 0.02 | 1 | 0.2% |
| 0.03 | 1 | 0.2% |
| 0.04 | 2 | 0.4% |
| 0.05 | 4 | 0.9% |
| 0.06 | 1 | 0.2% |
| 0.07 | 1 | 0.2% |
| 0.08 | 2 | 0.4% |
| 0.09 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 31.2 | 1 | |
| 27.4 | 1 | |
| 25.01 | 1 | |
| 20 | 2 | |
| 19.6 | 1 | |
| 19.45 | 1 | |
| 19.2 | 1 | |
| 18.2 | 1 | |
| 18 | 1 | |
| 16 | 1 |
ldl
Real number (ℝ≥0)
| Distinct | 329 |
|---|---|
| Distinct (%) | 71.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.740324675 |
| Minimum | 0.98 |
|---|---|
| Maximum | 15.33 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 0.98 |
|---|---|
| 5-th percentile | 2.1945 |
| Q1 | 3.2825 |
| median | 4.34 |
| Q3 | 5.79 |
| 95-th percentile | 8.404 |
| Maximum | 15.33 |
| Range | 14.35 |
| Interquartile range (IQR) | 2.5075 |
Descriptive statistics
| Standard deviation | 2.070909161 |
|---|---|
| Coefficient of variation (CV) | 0.4368707426 |
| Kurtosis | 2.876552943 |
| Mean | 4.740324675 |
| Median Absolute Deviation (MAD) | 1.195 |
| Skewness | 1.31310398 |
| Sum | 2190.03 |
| Variance | 4.288664753 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.37 | 5 | 1.1% |
| 3.95 | 5 | 1.1% |
| 3.57 | 5 | 1.1% |
| 3.58 | 4 | 0.9% |
| 2.4 | 4 | 0.9% |
| 4.16 | 4 | 0.9% |
| 3.3 | 4 | 0.9% |
| 5.63 | 3 | 0.6% |
| 3.2 | 3 | 0.6% |
| 3.17 | 3 | 0.6% |
| Other values (319) | 422 |
| Value | Count | Frequency (%) |
| 0.98 | 1 | |
| 1.07 | 1 | |
| 1.43 | 1 | |
| 1.55 | 1 | |
| 1.59 | 1 | |
| 1.71 | 1 | |
| 1.72 | 1 | |
| 1.74 | 1 | |
| 1.77 | 1 | |
| 1.8 | 1 |
| Value | Count | Frequency (%) |
| 15.33 | 1 | |
| 14.16 | 1 | |
| 12.42 | 1 | |
| 11.89 | 1 | |
| 11.61 | 1 | |
| 11.41 | 1 | |
| 11.32 | 1 | |
| 11.17 | 1 | |
| 10.58 | 1 | |
| 10.53 | 1 |
| Distinct | 408 |
|---|---|
| Distinct (%) | 88.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.4067316 |
| Minimum | 6.74 |
|---|---|
| Maximum | 42.49 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 6.74 |
|---|---|
| 5-th percentile | 12.0065 |
| Q1 | 19.775 |
| median | 26.115 |
| Q3 | 31.2275 |
| 95-th percentile | 37.1165 |
| Maximum | 42.49 |
| Range | 35.75 |
| Interquartile range (IQR) | 11.4525 |
Descriptive statistics
| Standard deviation | 7.780698596 |
|---|---|
| Coefficient of variation (CV) | 0.306245554 |
| Kurtosis | -0.6984386244 |
| Mean | 25.4067316 |
| Median Absolute Deviation (MAD) | 5.7 |
| Skewness | -0.2146459286 |
| Sum | 11737.91 |
| Variance | 60.53927064 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30.79 | 3 | 0.6% |
| 27.55 | 3 | 0.6% |
| 21.1 | 3 | 0.6% |
| 29.3 | 3 | 0.6% |
| 24.65 | 2 | 0.4% |
| 29.18 | 2 | 0.4% |
| 30.9 | 2 | 0.4% |
| 30.11 | 2 | 0.4% |
| 26.08 | 2 | 0.4% |
| 32.03 | 2 | 0.4% |
| Other values (398) | 438 |
| Value | Count | Frequency (%) |
| 6.74 | 1 | |
| 7.12 | 1 | |
| 8.66 | 1 | |
| 9.28 | 1 | |
| 9.37 | 1 | |
| 9.39 | 1 | |
| 9.64 | 1 | |
| 9.69 | 2 | |
| 9.74 | 1 | |
| 10.05 | 1 |
| Value | Count | Frequency (%) |
| 42.49 | 1 | |
| 42.17 | 1 | |
| 42.06 | 1 | |
| 41.05 | 1 | |
| 40.6 | 1 | |
| 39.97 | 1 | |
| 39.71 | 1 | |
| 39.68 | 1 | |
| 39.66 | 1 | |
| 39.64 | 1 |
famhist
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.7 KiB |
| Absent | |
|---|---|
| Present |
Length
| Max length | 7 |
|---|---|
| Median length | 6 |
| Mean length | 6.415584416 |
| Min length | 6 |
Characters and Unicode
| Total characters | 2964 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Present |
|---|---|
| 2nd row | Absent |
| 3rd row | Present |
| 4th row | Present |
| 5th row | Present |
Common Values
| Value | Count | Frequency (%) |
| Absent | 270 | |
| Present | 192 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| absent | 270 | |
| present | 192 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 654 | |
| s | 462 | |
| n | 462 | |
| t | 462 | |
| A | 270 | |
| b | 270 | |
| P | 192 | 6.5% |
| r | 192 | 6.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2502 | |
| Uppercase Letter | 462 | 15.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 654 | |
| s | 462 | |
| n | 462 | |
| t | 462 | |
| b | 270 | |
| r | 192 | 7.7% |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 270 | |
| P | 192 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2964 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 654 | |
| s | 462 | |
| n | 462 | |
| t | 462 | |
| A | 270 | |
| b | 270 | |
| P | 192 | 6.5% |
| r | 192 | 6.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2964 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 654 | |
| s | 462 | |
| n | 462 | |
| t | 462 | |
| A | 270 | |
| b | 270 | |
| P | 192 | 6.5% |
| r | 192 | 6.5% |
typea
Real number (ℝ≥0)
| Distinct | 54 |
|---|---|
| Distinct (%) | 11.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 53.1038961 |
| Minimum | 13 |
|---|---|
| Maximum | 78 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 13 |
|---|---|
| 5-th percentile | 36 |
| Q1 | 47 |
| median | 53 |
| Q3 | 60 |
| 95-th percentile | 69 |
| Maximum | 78 |
| Range | 65 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.817534116 |
|---|---|
| Coefficient of variation (CV) | 0.1848740834 |
| Kurtosis | 0.4704023399 |
| Mean | 53.1038961 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | -0.3464377547 |
| Sum | 24534 |
| Variance | 96.38397611 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 52 | 25 | 5.4% |
| 57 | 23 | 5.0% |
| 54 | 21 | 4.5% |
| 50 | 21 | 4.5% |
| 49 | 20 | 4.3% |
| 60 | 18 | 3.9% |
| 56 | 18 | 3.9% |
| 55 | 17 | 3.7% |
| 61 | 17 | 3.7% |
| 47 | 17 | 3.7% |
| Other values (44) | 265 |
| Value | Count | Frequency (%) |
| 13 | 1 | 0.2% |
| 20 | 1 | 0.2% |
| 25 | 1 | 0.2% |
| 26 | 1 | 0.2% |
| 28 | 1 | 0.2% |
| 29 | 1 | 0.2% |
| 30 | 2 | |
| 31 | 2 | |
| 32 | 1 | 0.2% |
| 33 | 4 |
| Value | Count | Frequency (%) |
| 78 | 1 | 0.2% |
| 77 | 1 | 0.2% |
| 75 | 1 | 0.2% |
| 74 | 2 | 0.4% |
| 73 | 2 | 0.4% |
| 72 | 4 | |
| 71 | 2 | 0.4% |
| 70 | 5 | |
| 69 | 7 | |
| 68 | 6 |
| Distinct | 400 |
|---|---|
| Distinct (%) | 86.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.04411255 |
| Minimum | 14.7 |
|---|---|
| Maximum | 46.58 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 14.7 |
|---|---|
| 5-th percentile | 20.17 |
| Q1 | 22.985 |
| median | 25.805 |
| Q3 | 28.4975 |
| 95-th percentile | 33.138 |
| Maximum | 46.58 |
| Range | 31.88 |
| Interquartile range (IQR) | 5.5125 |
Descriptive statistics
| Standard deviation | 4.213680227 |
|---|---|
| Coefficient of variation (CV) | 0.161790125 |
| Kurtosis | 2.255971618 |
| Mean | 26.04411255 |
| Median Absolute Deviation (MAD) | 2.71 |
| Skewness | 0.9052194041 |
| Sum | 12032.38 |
| Variance | 17.75510105 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 24.86 | 4 | 0.9% |
| 26.09 | 4 | 0.9% |
| 22.51 | 3 | 0.6% |
| 21.94 | 3 | 0.6% |
| 24.98 | 3 | 0.6% |
| 22.01 | 3 | 0.6% |
| 27.29 | 3 | 0.6% |
| 28.4 | 3 | 0.6% |
| 25.99 | 3 | 0.6% |
| 22.59 | 3 | 0.6% |
| Other values (390) | 430 |
| Value | Count | Frequency (%) |
| 14.7 | 1 | |
| 17.75 | 1 | |
| 17.81 | 1 | |
| 17.89 | 1 | |
| 18.36 | 1 | |
| 18.46 | 1 | |
| 18.5 | 1 | |
| 18.75 | 1 | |
| 19.15 | 1 | |
| 19.3 | 1 |
| Value | Count | Frequency (%) |
| 46.58 | 1 | |
| 45.72 | 1 | |
| 41.76 | 1 | |
| 40.34 | 1 | |
| 38.8 | 1 | |
| 37.71 | 1 | |
| 37.41 | 1 | |
| 37.24 | 1 | |
| 36.46 | 1 | |
| 36.06 | 1 |
| Distinct | 249 |
|---|---|
| Distinct (%) | 53.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 17.04439394 |
| Minimum | 0 |
|---|---|
| Maximum | 147.19 |
| Zeros | 110 |
| Zeros (%) | 23.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.51 |
| median | 7.51 |
| Q3 | 23.8925 |
| 95-th percentile | 66.8495 |
| Maximum | 147.19 |
| Range | 147.19 |
| Interquartile range (IQR) | 23.3825 |
Descriptive statistics
| Standard deviation | 24.48105869 |
|---|---|
| Coefficient of variation (CV) | 1.43631148 |
| Kurtosis | 6.421109969 |
| Mean | 17.04439394 |
| Median Absolute Deviation (MAD) | 7.51 |
| Skewness | 2.312698937 |
| Sum | 7874.51 |
| Variance | 599.3222347 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 110 | 23.8% |
| 2.06 | 16 | 3.5% |
| 0.51 | 8 | 1.7% |
| 14.4 | 5 | 1.1% |
| 43.2 | 5 | 1.1% |
| 11.11 | 5 | 1.1% |
| 8.23 | 5 | 1.1% |
| 8.33 | 5 | 1.1% |
| 4.11 | 4 | 0.9% |
| 3.81 | 4 | 0.9% |
| Other values (239) | 295 |
| Value | Count | Frequency (%) |
| 0 | 110 | |
| 0.19 | 1 | 0.2% |
| 0.26 | 1 | 0.2% |
| 0.37 | 2 | 0.4% |
| 0.51 | 8 | 1.7% |
| 0.6 | 1 | 0.2% |
| 0.68 | 2 | 0.4% |
| 0.69 | 1 | 0.2% |
| 0.74 | 2 | 0.4% |
| 0.86 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 147.19 | 1 | |
| 145.29 | 1 | |
| 144 | 1 | |
| 120.03 | 1 | |
| 109.8 | 1 | |
| 108 | 1 | |
| 100.32 | 1 | |
| 97.2 | 1 | |
| 92.62 | 1 | |
| 90.93 | 1 |
| Distinct | 49 |
|---|---|
| Distinct (%) | 10.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 42.81601732 |
| Minimum | 15 |
|---|---|
| Maximum | 64 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.7 KiB |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 17 |
| Q1 | 31 |
| median | 45 |
| Q3 | 55 |
| 95-th percentile | 62 |
| Maximum | 64 |
| Range | 49 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 14.60895644 |
|---|---|
| Coefficient of variation (CV) | 0.3412030675 |
| Kurtosis | -1.01622901 |
| Mean | 42.81601732 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | -0.3817342585 |
| Sum | 19781 |
| Variance | 213.4216084 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=49)
| Value | Count | Frequency (%) |
| 16 | 20 | 4.3% |
| 58 | 17 | 3.7% |
| 17 | 17 | 3.7% |
| 61 | 16 | 3.5% |
| 59 | 16 | 3.5% |
| 55 | 16 | 3.5% |
| 60 | 15 | 3.2% |
| 45 | 14 | 3.0% |
| 53 | 14 | 3.0% |
| 49 | 14 | 3.0% |
| Other values (39) | 303 |
| Value | Count | Frequency (%) |
| 15 | 3 | 0.6% |
| 16 | 20 | |
| 17 | 17 | |
| 18 | 8 | 1.7% |
| 19 | 2 | 0.4% |
| 20 | 6 | 1.3% |
| 21 | 3 | 0.6% |
| 23 | 2 | 0.4% |
| 24 | 6 | 1.3% |
| 25 | 4 | 0.9% |
| Value | Count | Frequency (%) |
| 64 | 13 | |
| 63 | 8 | |
| 62 | 12 | |
| 61 | 16 | |
| 60 | 15 | |
| 59 | 16 | |
| 58 | 17 | |
| 57 | 8 | |
| 56 | 9 | |
| 55 | 16 |
chd
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.7 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 462 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 160 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 160 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 160 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 462 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 160 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 462 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 160 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 462 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 302 | |
| 1 | 160 |
Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| names | sbp | tobacco | ldl | adiposity | famhist | typea | obesity | alcohol | age | chd | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 160 | 12.00 | 5.73 | 23.11 | Present | 49 | 25.30 | 97.20 | 52 | 1 |
| 1 | 2 | 144 | 0.01 | 4.41 | 28.61 | Absent | 55 | 28.87 | 2.06 | 63 | 1 |
| 2 | 3 | 118 | 0.08 | 3.48 | 32.28 | Present | 52 | 29.14 | 3.81 | 46 | 0 |
| 3 | 4 | 170 | 7.50 | 6.41 | 38.03 | Present | 51 | 31.99 | 24.26 | 58 | 1 |
| 4 | 5 | 134 | 13.60 | 3.50 | 27.78 | Present | 60 | 25.99 | 57.34 | 49 | 1 |
| 5 | 6 | 132 | 6.20 | 6.47 | 36.21 | Present | 62 | 30.77 | 14.14 | 45 | 0 |
| 6 | 7 | 142 | 4.05 | 3.38 | 16.20 | Absent | 59 | 20.81 | 2.62 | 38 | 0 |
| 7 | 8 | 114 | 4.08 | 4.59 | 14.60 | Present | 62 | 23.11 | 6.72 | 58 | 1 |
| 8 | 9 | 114 | 0.00 | 3.83 | 19.40 | Present | 49 | 24.86 | 2.49 | 29 | 0 |
| 9 | 10 | 132 | 0.00 | 5.80 | 30.96 | Present | 69 | 30.11 | 0.00 | 53 | 1 |
Last rows
| names | sbp | tobacco | ldl | adiposity | famhist | typea | obesity | alcohol | age | chd | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 452 | 454 | 154 | 5.53 | 3.20 | 28.81 | Present | 61 | 26.15 | 42.79 | 42 | 0 |
| 453 | 455 | 124 | 1.60 | 7.22 | 39.68 | Present | 36 | 31.50 | 0.00 | 51 | 1 |
| 454 | 456 | 146 | 0.64 | 4.82 | 28.02 | Absent | 60 | 28.11 | 8.23 | 39 | 1 |
| 455 | 457 | 128 | 2.24 | 2.83 | 26.48 | Absent | 48 | 23.96 | 47.42 | 27 | 1 |
| 456 | 458 | 170 | 0.40 | 4.11 | 42.06 | Present | 56 | 33.10 | 2.06 | 57 | 0 |
| 457 | 459 | 214 | 0.40 | 5.98 | 31.72 | Absent | 64 | 28.45 | 0.00 | 58 | 0 |
| 458 | 460 | 182 | 4.20 | 4.41 | 32.10 | Absent | 52 | 28.61 | 18.72 | 52 | 1 |
| 459 | 461 | 108 | 3.00 | 1.59 | 15.23 | Absent | 40 | 20.09 | 26.64 | 55 | 0 |
| 460 | 462 | 118 | 5.40 | 11.61 | 30.79 | Absent | 64 | 27.35 | 23.97 | 40 | 0 |
| 461 | 463 | 132 | 0.00 | 4.82 | 33.41 | Present | 62 | 14.70 | 0.00 | 46 | 1 |